ArticleJournal of affective disorders2018
Measurement of depression treatment among patients receiving HIV primary care: Whither the truth?
Article in Journal of affective disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- Global Systematic Review of Common Mental Health Disorders in Adults Living with HIV.Current HIV/AIDS reports · 2021Pooled it
- The effect of antidepressant treatment on viral suppression among people with HIV diagnosed with depression in an urban clinic.AIDS (London, England) · 2025Observational
- Clinical correlates of depression chronicity among people living with HIV: What is the role of suicidal ideation?Journal of affective disorders · 2019Article
- The Depression Treatment Cascade: Disparities by Alcohol Use, Drug Use, and Panic Symptoms Among Patients in Routine HIV Care in the United States.AIDS and behavior · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundPrescription records, manual chart review, and patient self-report are each imperfect measures of depression treatment in HIV-infected adults.
methodsWe compared antidepressant prescription records in an electronic data warehouse with antidepressant treatment and psychotherapy identified via manual chart review and self-report for patients at 6 academic HIV treatment centers. We examined concordance among these three sources, and used latent class analysis (LCA) to estimate sensitivity and specificity of each measure.
resultsIn our charts sample (n = 586), 59% had chart indication of "any depression treatment" and 46% had a warehouse prescription record. Antidepressant use was concordant between charts and data warehouse for 77% of the sample. In our self-report sample (n = 677), 52% reported any depression treatment and 43% had a warehouse prescription record. Self-report of antidepressant treatment was consistent with prescription records for 71% of the sample. LCA estimates of sensitivity and specificity for "any depression treatment" were 67% and 90% (warehouse), 87% and 75% (self-report), and 96% and 77% (chart). LIMITATIONS: There is no gold standard to measure depression treatment. Antidepressants may be prescribed to patients for conditions other than depression. The results may not be generalizable to patient populations in non-academic HIV clinics. Regarding LCA, dependence of errors may have led to overestimation of sensitivity and specificity.
conclusionsPrescription records were largely concordant with self-report and chart review, but there were discrepancies. Studies of depression in HIV-infected patients would benefit from using multiple measures of depression treatment or correcting for exposure misclassification.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.